Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons-Reference-Cited by-同舟云学术

Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons

Published:2024-06 Issue:3 Volume:8 Page:2433-2445
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Chen Kesheng¹^ORCID,Luo Wenjian¹^ORCID,Lin Xin²^ORCID,Song Zhen¹^ORCID,Chang Yatong¹^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

2. School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Shenzhen Fundamental Research Program

Major Key Project of PCL

Shenzhen Science and Technology Program

Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10538459/10463192.pdf?arnumber=10463192

Reference33 articles.

1. Tree height mapping and crown delineation using LiDAR, large format aerial photographs, and unmanned aerial vehicle photogrammetry in subtropical urban forest

2. A Psychoacoustic Approach to Building Knowledge about Human Response to Noise of Unmanned Aerial Vehicles

3. Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review

4. Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges

5. Future Demand and Benefits for Small Unmanned Aerial Systems (UAS) Package Delivery